Cloud-native Computing How to Design, Develop, and Secure Microservices and Event-Driven Applications

by Raj, Pethuru; Vanga, Skylab; Chaudhary, Akshita

• ISBN13: 9781119814764
• ISBN10: 1119814766
• Edition: 1st
• Format: Hardcover
• Copyright: 2022-10-25
• Publisher: Wiley-IEEE Press

Summary

Explore the cloud-native paradigm for event-driven and service-oriented applications

In Cloud-Native Computing: How to Design, Develop, and Secure Microservices and Event-Driven Applications, a team of distinguished professionals delivers a comprehensive and insightful treatment of cloud-native computing technologies and tools. With a particular emphasis on the Kubernetes platform, as well as service mesh and API gateway solutions, the book demonstrates the need for reliability assurance in any distributed environment.

The authors explain the application engineering and legacy modernization aspects of the technology at length, along with agile programming models. Descriptions of MSA and EDA as tools for accelerating software design and development accompany discussions of how cloud DevOps tools empower continuous integration, delivery, and deployment.

Cloud-Native Computing also introduces proven edge devices and clouds used to construct microservices-centric and real-time edge applications. Finally, readers will benefit from:

• Thorough introductions to the demystification of digital transformation
• Comprehensive explorations of distributed computing in the digital era, as well as reflections on the history and technological development of cloud computing
• Practical discussions of cloud-native computing and microservices architecture, as well as event-driven architecture and serverless computing
• In-depth examinations of the Akka framework as a tool for concurrent and distributed applications development

Perfect for graduate and postgraduate students in a variety of IT- and cloud-related specialties, Cloud-Native Computing also belongs in the libraries of IT professionals and business leaders engaged or interested in the application of cloud technologies to various business operations.

Author Biography

Pethuru Raj, PhD, is Chief Architect and Vice-President for the Site Reliability Engineering Division of Reliance Jio Platforms in Bangalore. He has over twenty years' experience in the IT industry.

K.V. Sampath is Enterprise Architect with the Cloud Center of Excellence at IBM India. He has 21 years' experience with cloud computing, security intelligence, and service management.

Manojit Das is Senior Cloud Solution Architect with the Hybrid Cloud Center of Excellence at IBM. He is an IBM Certified Expert IT Architect with extensive experience in digital transformation.

Sourav Tripathy is Director of Software Engineering for Cloud Software Platform and Applications at GE Renewable Energy Digital Services Business at the John F. Welch Technology Center in Bangalore, India.

Skylab Reddy is Senior Software Engineer in the GTS Labs of IBM India Pvt Ltd. in Bangalore.

Table of Contents

Preface

Chapter 1 - The Dawning of Digital Era

Chapter 2 – Leveraging the Cloud-Native Computing Model for the Digital Era

Chapter 3 - Kubernetes Architecture, Best Practices and Patterns

Chapter 4 - The Resiliency and Observability Aspects of Cloud-native Applications

Chapter 5 - Creating Kubernetes Clusters on Private Cloud (VMware vSphere)

Chapter 6: Creating Kubernetes Clusters on Public Cloud (Microsoft Azure)

Chapter 7: Design, Development and Deployment of Event-driven Microservices Practically

Chapter 8 - Serverless Computing for the Cloud-native Era

Chapter 9 - Demonstrating a Serverless Application using Knative on a Kubernetes Cluster

Chapter 10 - Delineating Cloud-native Edge Computing

Chapter 11 - Setting up a Kubernetes Cluster using Azure Kubernetes Service (AKS)

Chapter 12 - Reliable Cloud-native Applications through Service Mesh

Chapter 13 – Cloud-native Computing: The Security Challenges and the Solution Approaches

Chapter 14 – Microservices Security: The Concerns and the Solution Approaches

Chapter 15 - Apache Kafka: Setup, Monitor and Secure Kubernetes cluster.